An exposition of multivariate analysis with the singular value decomposition in R
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Publication:1623402
DOI10.1016/j.csda.2013.11.006zbMath1506.62005OpenAlexW1990733293MaRDI QIDQ1623402
Hervé Abdi, Derek Beaton, Cherise R. Chin Fatt
Publication date: 23 November 2018
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2013.11.006
bootstrapsingular value decompositionpartial least squarescorrespondence analysisprincipal components analysis
Factor analysis and principal components; correspondence analysis (62H25) Software, source code, etc. for problems pertaining to statistics (62-04)
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Cites Work
- PLS path modeling
- Multiple Subject Barycentric Discriminant Analysis (MUSUBADA): how to assign scans to categories without using spatial normalization
- Projection matrices, generalized inverse matrices, and singular value decomposition.
- Simultaneous analysis of a sequence of paired ecological tables: A comparison of several methods
- An inter-battery method of factor analysis
- How many principal components? Stopping rules for determining the number of non-trivial axes revisited
- An improved method for generalized constrained canonical correlation analysis
- Use of SVD-based probit transformation in clustering gene expression profiles
- On the number of principal components: a test of dimensionality based on measurements of similarity between matrices
- An overview of statistical decomposition techniques applied to complex systems
- Multiple factor analysis and clustering of a mixture of quantitative, categorical and frequency data
- RcppArmadillo: accelerating R with high-performance C++ linear algebra
- Principal component analysis.
- The ACT (STATIS method)
- New perspectives in partial least squares and related methods. Based on the presentation at the 7th partial least squares (PLS) conference, Houston, TX, USA, May 19--22, 2012
- Modern multidimensional scaling. Theory and applications.
- Operator related to a data matrix: a survey
- The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses
- Correspondence Analysis in Practice
- Bootstrap Methods
- A Comparison of Different Methods for Representing Categorical Data
- Adding a point to vector diagrams in multivariate analysis
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